Multivariate statistical approach in food and pharmaceutical quality control

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dc.contributor.authorNguyen, Thu Hoai
dc.contributor.authorNguyen, Phuc Thinh
dc.contributor.authorLy, Du Thu
dc.contributor.authorNguyen, Huu Quang
dc.contributor.authorNguyen, Thi My Chi
dc.contributor.authorTa, Thi Le Huyen
dc.contributor.authorVo, Hien
dc.contributor.authorNguyen, Anh Mai
dc.date.accessioned2024-08-25T15:21:37Z
dc.date.accessioned2024-08-29T02:16:58Z
dc.date.available2024-08-25T15:21:37Z
dc.date.available2024-08-29T02:16:58Z
dc.date.issued2019
dc.description8 pages.
dc.description.abstractIR spectra contain chemical information of matter and can be acquired from raw/untreated samples. The spectra are, however, complicated to interpret and could not be used directly for both qualitative and quantitative purposes. In this research a statistical approach namely, multivariate data analysis (MVDA) or chemometrics was employed for mining information related to chemical compositions from spectroscopic data. Two examples are used to illustrate the potential of this approach, one is edible oil (using benchtop FT-IR), and pharmaceuticals (using handheld NIR). Olive oil was differentiated from adulterants (sesame, sunflower, palm oil) in PCA, and the content of olive oil was successfully determined by the PLS model the error of olive oil content < 5%. Norfloxacin content in lab-scale powder formulation yield the auspicious results with the error < 6%. The results proved the developed techniques are promising for rapid analysis at significantly lower costs.
dc.identifier.citationNguyen Tat Thanh University. (2019). Journal of Science and Technology - NTTU, No 06. ISSN 2615-9015.
dc.identifier.issn2615-9015
dc.identifier.urihttps://repository.ntt.edu.vn/handle/298300331/50019
dc.language.isoen
dc.publisherNguyen Tat Thanh University
dc.subjectFood and pharmaceutical quality
dc.subjectChemometrics
dc.subjectHandheld NIR
dc.subjectFTIR
dc.subjectMultivariate data analysis
dc.titleMultivariate statistical approach in food and pharmaceutical quality control
dc.typeArticle

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